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384 articles for “Prediction Model”
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Research ArticleOpen accessPhrase in the titleProposal for the Development of Adverse Drug Reaction Prediction ModelMuaed J. Alomar, Anas A. Hourani, Syed A. SulaimanInformation technology, which uses the computer for data processing and decision-making, has invaded all kinds of sciences. Health informatics is one of these important areas. The Objective of this study is to develop a mathematical model that calculates the percentage of ADR occurrence using the data available from primary literature for a specific medication. A mathematical model was developed to … …American Journal of Pharmacology and Toxicology, Vol. 3, Issue 2 · 30 Jun 2008 · 7,394 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Prediction Model for Information Anxiety of CSs Based on CMA-ES and XGBoostBin Wang, Li ShaoWith the rapid advancement of information technology, college students are increasingly facing the problem of information overload. Information anxiety, an emerging mental health issue, significantly impacts their studies, daily lives, and mental well-being. Given the limitations of existing methods in handling complex nonlinear relationships and high-dimensional data, this study proposes an efficient and accurate prediction model for college students’ information … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 21 Apr 2026 · 1,695 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDeveloping an Effective Churn Prediction Model for Telecommunications: Enhancing Customer Retention through Advanced Machine Learning TechniquesAshu Goyal, Anuj Gupta, Sharad Kumar et al.Customer churn poses a significant challenge for the telecommunications sector, resulting in substantial revenue losses and increased customer acquisition costs. This research creates an efficient churn prediction model that combines state-of-the-art machine learning with ensemble learning to maximize customer retention. With the IBM Telco Customer Churn dataset, several baseline models, including Gradient Boosting, AdaBoost, Logistic Regression, Random Forest, and Support … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 3,164 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleTree Volume Prediction Model of Cupressus lusitanica Species: in North-Western Highlands of EthiopiaYishak Adgo Kassie, Abebaw Alene YallewA significant basis of raw materials for the forest products industry is provided by Cupressus lusitanica, one of the commercial timber tree species found in the forest. Accurate tree and stand volume development models are necessary for intensive forest management to yield timber. The goal of this study was to develop and validate volume equations for Cupressus lusitanica tree species … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 26 Aug 2025 · 5,936 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleEmpirical Study on Modified Pre-Trained CNN Architectures for Fitzpatrick17k Skin Diseases Prediction ModellingSteven Matthew, Nur Afny Catur Andryani, Rojali et al.Preventing missed diagnosis of skin diseases is critical for enhancing patient outcomes. Technology support empowered by AI based algorithms have been recently developed to minimize the burden. Convolutional Neural Networks (CNNs) are increasingly utilized for image classification tasks including skin's diseases prediction modelling. Its advancement architectures such as pre-trained models, VGG16 andResNet50 provide a strong foundation to up-skill the prediction … …Journal of Computer Science, Vol. 21, Issue 7 · 8 Jul 2025 · 3,934 accessesView PDFCite
Research ArticleOpen accessPhrase in the titlePerformance Prediction Model for Predictive Maintenance Based on K-Nearest Neighbor Method for Air Navigation Equipment FacilitiesRachmat Hidayat, Ditdit Nugeraha UtamaThe aging of air navigation facilities leads to a decline in equipment performance and reliability, posing significant challenges for aviation organizations in the large-scale replacement of outdated systems, as well as in managing budgets and resources. To address these issues, a performance prediction model for equipment was developed using the K-Nearest Neighbor (KNN) method, aimed at enhancing maintenance planning and … …Journal of Computer Science, Vol. 21, Issue 4 · 4 Mar 2025 · 5,653 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleFuel Prediction Model for Driving Patterns Using Machine Learning TechniquesManjunath TK, Ashok Kumar PSIn recent years, the demand for fuel efficiency has become a crucial aspect of the automotive industry. Predicting fuel economy accurately is essential for optimizing vehicle performance and reducing environmental impact. This proposed model presents a machine learning-based approach for developing a fuel prediction model using the real dataset. The model aims to predict fuel efficiency for different drivers by … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,480 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Classification and Prediction Model for Student's Performance in University LevelAshraf Abazeed, Moaiad KhderEducational Data Mining is a new discipline, focusing on studying the methods and creating models to utilize educational data, using those methods to better understand students and their performance. We implemented two different techniques on our dataset; classification used to build a prediction model and association rules were used to find interesting hidden information in the student's records. This study … …Journal of Computer Science, Vol. 13, Issue 7 · 14 Jul 2017 · 8,223 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Meteorological Tower Based Wind Speed Prediction Model Using Fuzzy LogicSardar Maran Poongavanam, Ponnusamy RamalingamA number of wind speed prediction methods are available for estimating wind energy availability. In recent years there is a lot of research works carried out to predict wind speed by using mathematical and soft computing techniques. In this study the wind speed profile at different heights are predicted with the available meteorological tower data. The wind speed data at … …American Journal of Environmental Sciences, Vol. 9, Issue 3 · 7 May 2013 · 6,866 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleNumerical Prediction Model for Temperature Distributions in Concrete at Early AgesWondwosen Ali, Girum UrgessaA finite element-finite difference numerical model is developed for predicting non-uniform temperature development in hydrating concrete with respect to time and space. The results obtained from this model can be used by structural and construction engineers to predict critical thermal stresses induced due to differential temperatures between the core and the surface of the concrete at early ages and between … …American Journal of Engineering and Applied Sciences, Vol. 5, Issue 4 · 2 Jan 2013 · 7,353 accessesView PDFCite